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4634039
docs: update Citation
e06084 Sep 26, 2025
27f3212
docs: update wechat
e06084 Sep 29, 2025
7f9eaf6
Merge pull request #196 from e06084/main
e06084 Sep 29, 2025
beddef1
docs: update wechat pic
e06084 Oct 10, 2025
1c47449
Merge pull request #201 from e06084/main
e06084 Oct 10, 2025
8ba9d2f
docs: update wechat pic
e06084 Oct 17, 2025
a6a2592
Merge pull request #214 from e06084/main
e06084 Oct 17, 2025
d67f3bd
docs: update wechat pic
e06084 Oct 25, 2025
2537d28
Merge pull request #231 from e06084/main
e06084 Oct 25, 2025
7b0a899
Merge pull request #236 from MigoXLab/dev
e06084 Oct 29, 2025
8f2103f
docs: update wechat
e06084 Nov 1, 2025
f316f18
Merge pull request #240 from e06084/main
e06084 Nov 1, 2025
af51932
docs: update wechat (#245)
e06084 Nov 10, 2025
8505863
feat: update wechat img (#249)
e06084 Nov 19, 2025
8f1f912
feat: update wechat (#261)
e06084 Nov 26, 2025
e8cc8e4
docs: update wechat (#268)
e06084 Dec 4, 2025
4243117
feat: openai version free
shijinpjlab Dec 9, 2025
01598bf
Merge pull request #274 from shijinpjlab/main1209
shijinpjlab Dec 9, 2025
5df390d
Bump version from 1.11.0 to 1.11.1
shijinpjlab Dec 9, 2025
e3fd796
docs: update wechat (#279)
e06084 Dec 11, 2025
3c9de34
feat: gradio
shijinpjlab Dec 11, 2025
2eb2fb7
Merge pull request #280 from shijinpjlab/main_1211
shijinpjlab Dec 11, 2025
2a61c08
feat: fix
shijinpjlab Dec 11, 2025
0ace311
Merge pull request #281 from shijinpjlab/main_1211
shijinpjlab Dec 11, 2025
0b67df1
Merge remote-tracking branch 'upstream/main' into dev_main
shijinpjlab Dec 11, 2025
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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -445,9 +445,9 @@ If you find this project useful, please consider citing our tool:

```
@misc{dingo,
title={Dingo: A Comprehensive Data Quality Evaluation Tool for Large Models},
title={Dingo: A Comprehensive AI Data Quality Evaluation Tool for Large Models},
author={Dingo Contributors},
howpublished={\url{https://github.com/DataEval/dingo}},
howpublished={\url{https://github.com/MigoXLab/dingo}},
year={2024}
}
```
4 changes: 2 additions & 2 deletions README_ja.md
Original file line number Diff line number Diff line change
Expand Up @@ -438,9 +438,9 @@ result = executor.execute()

```
@misc{dingo,
title={Dingo: A Comprehensive Data Quality Evaluation Tool for Large Models},
title={Dingo: A Comprehensive AI Data Quality Evaluation Tool for Large Models},
author={Dingo Contributors},
howpublished={\url{https://github.com/DataEval/dingo}},
howpublished={\url{https://github.com/MigoXLab/dingo}},
year={2024}
}
```
4 changes: 2 additions & 2 deletions README_zh-CN.md
Original file line number Diff line number Diff line change
Expand Up @@ -444,9 +444,9 @@ If you find this project useful, please consider citing our tool:

```
@misc{dingo,
title={Dingo: A Comprehensive Data Quality Evaluation Tool for Large Models},
title={Dingo: A Comprehensive AI Data Quality Evaluation Tool for Large Models},
author={Dingo Contributors},
howpublished={\url{https://github.com/DataEval/dingo}},
howpublished={\url{https://github.com/MigoXLab/dingo}},
year={2024}
}
```
4 changes: 2 additions & 2 deletions app_gradio/app.py
Original file line number Diff line number Diff line change
Expand Up @@ -369,7 +369,7 @@ def get_data_column_mapping():
visible=False
)
column_content = gr.Textbox(
value="",
value="content",
placeholder="Column name of content in the input file. If exists multiple levels, use '.' separate",
label="column_content",
visible=False
Expand All @@ -388,7 +388,7 @@ def get_data_column_mapping():
# 修改输出组件部分,使用Tabs
with gr.Tabs():
with gr.Tab("Result Summary"):
summary_output = gr.Textbox(label="summary", max_lines=50)
summary_output = gr.JSON(label="summary", max_height=800)
with gr.Tab("Result Detail"):
detail_output = gr.JSON(label="detail", max_height=800) # 使用JSON组件来更好地展示结构化数据

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2 changes: 1 addition & 1 deletion requirements/runtime.txt
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ huggingface_hub
jieba
jsonlines
langid
openai==1.56.2
openai>=1.56.2
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high

While allowing newer versions of openai provides flexibility, using >= without an upper bound is risky. It could pull in a future major version (e.g., 2.0.0) with breaking API changes, which would likely cause this library to fail. It's a best practice to specify a compatible range to prevent this.

I suggest using a pessimistic version constraint to allow updates within the current major version but prevent breaking changes from a future major version.

openai>=1.56.2, <2.0.0

opencv-python
packaging>=24.1
pandas
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2 changes: 1 addition & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ def get_data_files(directory):

setup(
name="dingo-python",
version="1.11.0",
version="1.11.1",
author="Dingo",
description="A Comprehensive AI Data Quality Evaluation Tool for Large Models",
long_description=long_description,
Expand Down